John Feo
Impact in
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Graph Theory and Algorithms
Papers in
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- Parallel Computing and Optimization Techniques 42
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- Graph Theory and Algorithms 19
- Co-authors
- D.C. Cann (9 shared papers)R. R. Oldehoeft (3 shared papers)Daniel Chavarría-Miranda (7 shared papers)Guojing Cong (2 shared papers)David A. Bader (2 shared papers)Shuangshuang Jin (2 shared papers)Mahantesh M. Halappanavar (4 shared papers)Zhenyu Henry Huang (2 shared papers)
- Journals
- Parallel Computing (3 papers)Computer (2 papers)Journal of Parallel and Distributed Computing (2 papers)The International Journal of High Performance Computing Applications (1 paper)Handbook of statistics (1 paper)
- Partner nations
- United StatesPuerto RicoItaly
In The Last Decade
John Feo
59 papers receiving 837 citations
Peers
Comparison fields: 5 of 37
- Hardware and Architecture 501
- Computer Vision and Pattern Recognition 237
- Computational Mathematics 6
- Statistical and Nonlinear Physics 53
- Computer Networks and Communications 99
Countries citing papers authored by John Feo
This map shows the geographic impact of John Feo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Feo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Feo more than expected).
Fields of papers citing papers by John Feo
This network shows the impact of papers produced by John Feo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Feo. The network helps show where John Feo may publish in the future.
Co-authors
The 25 scholars most cited alongside John Feo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 138 | |
| 2 | 2005 | 74 | |
| 3 | 2010 | 70 | |
| 4 | 1988 | 58 | |
| 5 | 2012 | 58 | |
| 6 | 2005 | 50 | |
| 7 | 2009 | 47 | |
| 8 | 2012 | 33 | |
| 9 | 2007 | 30 | |
| 10 | 1998 | 25 | |
| 11 | 2002 | 25 | |
| 12 | SISAL reference manual. Language version 2.0 | 1990 | 21 |
| 13 | 2015 | 19 | |
| 14 | 2013 | 17 | |
| 15 | 2010 | 14 | |
| 16 | Performance and Programming Experience on the Tera MTA. | 1999 | 13 |
| 17 | 2014 | 13 | |
| 18 | 2019 | 13 | |
| 19 | 2001 | 11 | |
| 20 | 1993 | 10 |
About John Feo
John Feo is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 67 papers that have together received 894 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (42 papers), Graph Theory and Algorithms (19 papers), Advanced Database Systems and Queries (11 papers), Semantic Web and Ontologies (6 papers), Logic, programming, and type systems (4 papers), Complex Network Analysis Techniques (3 papers), Data Mining Algorithms and Applications (2 papers) and Complexity and Algorithms in Graphs (2 papers). The work is most often cited by research in Hardware and Architecture (501 citations), Computer Vision and Pattern Recognition (237 citations), Computational Mathematics (6 citations), Statistical and Nonlinear Physics (53 citations) and Computer Networks and Communications (99 citations). John Feo has collaborated with scholars based in United States, Puerto Rico and Italy. Frequent co-authors include D.C. Cann, R. R. Oldehoeft, Daniel Chavarría-Miranda, Guojing Cong, David A. Bader, Shuangshuang Jin, Mahantesh M. Halappanavar, Zhenyu Henry Huang, Alex Pothen and Antonino Tumeo. Their work appears in journals such as Parallel Computing, Computer, Journal of Parallel and Distributed Computing, The International Journal of High Performance Computing Applications and Handbook of statistics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.